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@orangain
Last active June 26, 2017 00:35
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テーブルからのスクレイピング

準備

$ python3 -m venv scraping
$ . venv/bin/activate
(venv) $ pip install scrapy

実行

(venv) $ scrapy runspider tablespider.py
...
{'会社名': '○○株式会社', '住所': '東京都新宿区'}
...
import scrapy
class TableSpider(scrapy.Spider):
name = 'table'
start_urls = [
'https://gist.github.com/orangain/55f67efccdbb394f714471b08d4c33eb/raw/29eb49720d46e327a9d7e4dd6fac6aee1ae4b3da/test.html',
]
def parse(self, response):
table_contents = {}
for tr in response.css('table tr'):
key = tr.css('th::text').extract_first().strip()
value = tr.css('td::text').extract_first().strip()
table_contents[key] = value
print(table_contents)
<table>
<tr>
<th>会社名</th>
<td>○○株式会社</td>
</tr>
<tr>
<th>住所</th>
<td>東京都新宿区 <a href="#">Google マップで見る</a>
</tr>
</table>
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